Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis

IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differenti...
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Autor*in:	Jie Jiang [verfasserIn] Chong Liu [verfasserIn] Guoyong Xu [verfasserIn] Tuo Liang [verfasserIn] Chaojie Yu [verfasserIn] Shian Liao [verfasserIn] Zide Zhang [verfasserIn] Zhaojun Lu [verfasserIn] Zequn Wang [verfasserIn] Jiarui Chen [verfasserIn] Tianyou Chen [verfasserIn] Hao Li [verfasserIn] Xinli Zhan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry

Übergeordnetes Werk:	In: Frontiers in Oncology - Frontiers Media S.A., 2012, 11(2021)
Übergeordnetes Werk:	volume:11 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fonc.2021.621430

Katalog-ID:	DOAJ068905645

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520			\|a IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
650		4	\|a melanoma
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650		4	\|a biomarker
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650		4	\|a immunohistochemistry
653		0	\|a Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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700	0		\|a Zequn Wang \|e verfasserin \|4 aut
700	0		\|a Jiarui Chen \|e verfasserin \|4 aut
700	0		\|a Tianyou Chen \|e verfasserin \|4 aut
700	0		\|a Hao Li \|e verfasserin \|4 aut
700	0		\|a Xinli Zhan \|e verfasserin \|4 aut
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allfields	10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021
spelling	10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021
allfields_unstemmed	10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021
allfieldsGer	10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021
allfieldsSound	10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021
language	English
source	In Frontiers in Oncology 11(2021) volume:11 year:2021
sourceStr	In Frontiers in Oncology 11(2021) volume:11 year:2021
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens
isfreeaccess_bool	true
container_title	Frontiers in Oncology
authorswithroles_txt_mv	Jie Jiang @@aut@@ Chong Liu @@aut@@ Guoyong Xu @@aut@@ Tuo Liang @@aut@@ Chaojie Yu @@aut@@ Shian Liao @@aut@@ Zide Zhang @@aut@@ Zhaojun Lu @@aut@@ Zequn Wang @@aut@@ Jiarui Chen @@aut@@ Tianyou Chen @@aut@@ Hao Li @@aut@@ Xinli Zhan @@aut@@
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Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">melanoma</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weighted gene co-expression network analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">differential expression gene analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarker</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">predict prognosis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">immunohistochemistry</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neoplasms. Tumors. Oncology. 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callnumber-first	R - Medicine
author	Jie Jiang
spellingShingle	Jie Jiang misc RC254-282 misc melanoma misc weighted gene co-expression network analysis misc differential expression gene analysis misc biomarker misc predict prognosis misc immunohistochemistry misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
authorStr	Jie Jiang
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topic_title	RC254-282 Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry
topic	misc RC254-282 misc melanoma misc weighted gene co-expression network analysis misc differential expression gene analysis misc biomarker misc predict prognosis misc immunohistochemistry misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc melanoma misc weighted gene co-expression network analysis misc differential expression gene analysis misc biomarker misc predict prognosis misc immunohistochemistry misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RC254-282 misc melanoma misc weighted gene co-expression network analysis misc differential expression gene analysis misc biomarker misc predict prognosis misc immunohistochemistry misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
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title_full	Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
author_sort	Jie Jiang
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author_browse	Jie Jiang Chong Liu Guoyong Xu Tuo Liang Chaojie Yu Shian Liao Zide Zhang Zhaojun Lu Zequn Wang Jiarui Chen Tianyou Chen Hao Li Xinli Zhan
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title_sort	identification of hub genes associated with melanoma development by comprehensive bioinformatics analysis
callnumber	RC254-282
title_auth	Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
abstract	IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
abstractGer	IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
abstract_unstemmed	IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
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title_short	Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
url	https://doi.org/10.3389/fonc.2021.621430 https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full https://doaj.org/toc/2234-943X
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author2	Chong Liu Guoyong Xu Tuo Liang Chaojie Yu Shian Liao Zide Zhang Zhaojun Lu Zequn Wang Jiarui Chen Tianyou Chen Hao Li Xinli Zhan
author2Str	Chong Liu Guoyong Xu Tuo Liang Chaojie Yu Shian Liao Zide Zhang Zhaojun Lu Zequn Wang Jiarui Chen Tianyou Chen Hao Li Xinli Zhan
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doi_str	10.3389/fonc.2021.621430
callnumber-a	RC254-282
up_date	2024-07-03T20:25:04.386Z
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Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis

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